no code implementations • SALLD (LREC) 2022 • Nina Schneidermann, Bolette Pedersen
In this paper, we evaluate a new sentiment lexicon for Danish, the Danish Sentiment Lexicon (DSL), to gain input regarding how to carry out the final adjustments of the lexicon.
no code implementations • EACL (GWC) 2021 • Sanni Nimb, Bolette Pedersen, Sussi Olsen
We describe the methodology and initial work of semi-automatically transferring adjectives from the Danish Thesaurus to the wordnet with the aim of easily enlarging the coverage from 3, 000 to approx.
1 code implementation • GWC 2016 • Hector Martinez Alonso, Anders Johannsen, Sanni Nimb, Sussi Olsen, Bolette Pedersen
We cover the expansion of the already-established supernsense inventory for nouns and verbs, the addition of coarse supersenses for adjectives in absence of a canonical supersense inventory, and super-senses for verbal satellites.
no code implementations • LREC 2022 • Bolette Pedersen, Nathalie Carmen Hau Sørensen, Sanni Nimb, Ida Flørke, Sussi Olsen, Thomas Troelsgård
We present The Central Word Register for Danish (COR), which is an open source lexicon project for general AI purposes funded and initiated by the Danish Agency for Digitisation as part of an AI initiative embarked by the Danish Government in 2020.
no code implementations • LREC 2022 • Sanni Nimb, Sussi Olsen, Bolette Pedersen, Thomas Troelsgård
The annotation task of the dataset included several steps, and was based on the comparison of synonyms and near synonyms within a semantic field.
no code implementations • GWC 2018 • Bolette Pedersen, John McCrae, Carole Tiberius, Simon Krek
The paper describes objectives, concept and methodology for ELEXIS, a European infrastructure fostering cooperation and information exchange among lexicographical research communities.
no code implementations • GWC 2018 • Bolette Pedersen, Manex Agirrezabal, Sanni Nimb, Ida Olsen, Sussi Olsen
Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP – not too fine-grained to be operational and yet finegrained enough to be worth the trouble.
no code implementations • LREC 2020 • Ida R{\o}rmann Olsen, Bolette Pedersen, Asad Sayeed
Our aim is to identify suitable sense representations for NLP in Danish.
1 code implementation • LREC 2020 • Sina Ahmadi, John Philip McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette Pedersen, Thierry Declerck, Tanja Wissik, Bell, Andrea i, Irene Pisani, Thomas Troelsg{\aa}rd, Sussi Olsen, Simon Krek, Veronika Lipp, Tam{\'a}s V{\'a}radi, L{\'a}szl{\'o} Simon, Andr{\'a}s Gyorffy, Carole Tiberius, Tanneke Schoonheim, Yifat Ben Moshe, Maya Rudich, Raya Abu Ahmad, Dorielle Lonke, Kira Kovalenko, Margit Langemets, Jelena Kallas, Oksana Dereza, Theodorus Fransen, David Cillessen, David Lindemann, Mikel Alonso, Ana Salgado, Jos{\'e} Luis Sancho, Rafael-J. Ure{\~n}a-Ruiz, Jordi Porta Zamorano, Kiril Simov, Petya Osenova, Zara Kancheva, Ivaylo Radev, Ranka Stankovi{\'c}, Andrej Perdih, Dejan Gabrovsek
Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography.
no code implementations • LREC 2020 • Nina Schneidermann, Rasmus Hvingelby, Bolette Pedersen
The goal standard is applied for evaluating the {``}goodness{''} of six existing word embedding models for Danish, and it is discussed how a relatively low correlation can be explained by the fact that semantic similarity is substantially more challenging to model than relatedness, and that there seems to be a need for future human judgments to measure similarity in full context and along more than a single spectrum.
no code implementations • LREC 2020 • Sabine Kirchmeier, Bolette Pedersen, Sanni Nimb, Philip Diderichsen, Peter Juel Henrichsen
Although Denmark is one of the most digitized countries in Europe, no coordinated efforts have been made in recent years to support the Danish language with regard to language technology and artificial intelligence.
no code implementations • LREC 2016 • Bolette Pedersen, Anna Braasch, Anders Johannsen, H{\'e}ctor Mart{\'\i}nez Alonso, Sanni Nimb, Sussi Olsen, Anders S{\o}gaard, Nicolai Hartvig S{\o}rensen
The aim of the developed corpus is twofold: i) to assess the reliability of the different sense annotation schemes for Danish measured by qualitative analyses and annotation agreement scores, and ii) to serve as training and test data for machine learning algorithms with the practical purpose of developing sense taggers for Danish.
no code implementations • LREC 2014 • Koenraad De Smedt, Erhard Hinrichs, Detmar Meurers, Inguna Skadi{\c{n}}a, Bolette Pedersen, Costanza Navarretta, N{\'u}ria Bel, Krister Lind{\'e}n, Mark{\'e}ta Lopatkov{\'a}, Jan Haji{\v{c}}, Gisle Andersen, Przemyslaw Lenkiewicz
CLARA (Common Language Resources and Their Applications) is a Marie Curie Initial Training Network which ran from 2009 until 2014 with the aim of providing researcher training in crucial areas related to language resources and infrastructure.
no code implementations • LREC 2014 • Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, N{\'u}ria Bel, Audron{\.e} Bielevi{\v{c}}ien{\.e}, Lars Borin, Ant{\'o}nio Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garab{\'\i}k, Marko Grobelnik, Carmen Garc{\'\i}a-Mateo, Josef van Genabith, Jan Haji{\v{c}}, Inma Hern{\'a}ez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lind{\'e}n, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunci{\'o}n Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr P{\k{e}}zik, Stelios Piperidis, Adam Przepi{\'o}rkowski, Eir{\'\i}kur R{\"o}gnvaldsson, Michael Rosner, Bolette Pedersen, Inguna Skadi{\c{n}}a, Koenraad De Smedt, Marko Tadi{\'c}, Paul Thompson, Dan Tufi{\c{s}}, Tam{\'a}s V{\'a}radi, Andrejs Vasi{\c{l}}jevs, Kadri Vider, Jolanta Zabarskaite
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
no code implementations • LREC 2012 • Andrejs Vasi{\c{l}}jevs, Markus Forsberg, Tatiana Gornostay, Dorte Haltrup Hansen, Krist{\'\i}n J{\'o}hannsd{\'o}ttir, Gunn Lyse, Krister Lind{\'e}n, Lene Offersgaard, Sussi Olsen, Bolette Pedersen, Eir{\'\i}kur R{\"o}gnvaldsson, Inguna Skadi{\c{n}}a, Koenraad De Smedt, Ville Oksanen, Roberts Rozis
The META-NORD project has contributed to an open infrastructure for language resources (data and tools) under the META-NET umbrella.